PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-05-05 10:19:46.562993+00:00 (UTC)
In US/Central Time, this is 2024-05-05 05:19:46.562993-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/bdc3846e5b24b56e40c8d0486780a8219138074f6ae0658556535309c18f4505.png
We are just generating a random time serie here.
../_images/5454ec2985846b85d7218ca53b2f36a61544082091a4566f5accb683c3397fba.png
../_images/b9f06d4eacc4c5fba7bc79defab5d11854f7a58bf89391d1f005cd0bc96592c7.png